On the new robust algorithm of noise reduction in color images

Abstract A novel method of noise reduction in color images is presented in this paper. This new technique is capable of attenuating impulsive and Gaussian noise, while preserving and even enhancing sharpness of the image edges. In the paper a smoothing operator, based on a random walk model and a fuzzy similarity measure between pixels connected by digital geodesic paths, is introduced. Extensive simulations reveal that the new method outperforms the standard techniques commonly used in multivariate signal processing.

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